A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning

21 July 2024

Papers citing "A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning"

7 / 7 papers shown

Title
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 36 0 0 19 Mar 2025
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 38 13 0 12 Dec 2023
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization Xiaochen Li Yuke Hu Weiran Liu Hanwen Feng Li Peng Yuan Hong Kui Ren Zhan Qin FedML 121 26 0 04 Oct 2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 29 67 0 24 May 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 102 610 0 27 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 72 115 0 08 Dec 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,031 0 29 Nov 2018